70.2 average across 2 concepts
Local operating-model alignment analysis
Best Franchise Opportunities We Assessed in Albany, New York
We ranked 14 franchise concepts for Albany, New York using local demand, labor, transportation, real estate, regulation, and source-backed evidence.
Evaluation set
Why these concepts were evaluated
This is not a ranking of every franchise that may be offered in the city.
Concepts were included when enough operating-model information existed to assign a provisional local-sensitivity profile. Unresolved inputs reduce confidence or remain conditional rather than automatically excluding a concept.
A brand’s participation in our referral network does not add points or change its position.
City-level conclusions
What stood out in our assessment
0.5 points average among 13 affected concepts
0.4 points average reduction among 14 affected concepts
Tested rank range spans 9 positions
Executive conclusion
What the ranking means for Albany, New York
Our Albany, New York analysis favored concepts whose operating requirements matched the city’s strongest service-demand conditions without depending too heavily on inexpensive labor, easy routing, or low-cost commercial space. Pillar To Post Home Inspectors, City Wide, and HomeSmiles produced the three highest modeled alignment scores in the evaluated set. Target-market demand was the strongest positive factor: it materially affected 13 concepts and added 0.5 points on average among them. Labor and staffing friction was the broadest negative pressure, reducing the 14 exposed concepts by 0.4 points on average. The result is not that the highest-ranked brand is universally better. It means that, under the documented city assumptions and the operating profiles available to us, its local advantages outweighed its modeled constraints more effectively. Territory boundaries, candidate capabilities, capital structure, franchise economics, current FDD disclosures, and local franchisee validation remain outside this ranking and can materially change the decision.
How this differs from a directory: the model does not award points for brand popularity, advertising placement, or referral compensation. It tests how documented local conditions interact with each concept’s operating requirements.
Best franchise opportunities assessed
Top 10 local-alignment scores from 14 concepts assessed
“Best” refers to modeled local operating alignment among the concepts assessed—not expected earnings, franchise-system quality, or candidate fit.
| Rank | Franchise | Alignment and tier | Largest advantage | Largest constraint | Evidence confidence |
|---|---|---|---|---|---|
| 1 | Pillar To Post Home InspectorsHome inspection | 71.3Tier 3 · Mixed modeled alignment | +0.9 ptsTarget-market demand | -0.2 ptsTransportation, routing, and parking | Moderate evidence confidence |
| 2 | City WideFacility management | 71.1Tier 3 · Mixed modeled alignment | +0.9 ptsTarget-market demand | -0.2 ptsLabor and staffing friction | Moderate evidence confidence |
| 3 | HomeSmilesProperty maintenance services | 70.8Tier 3 · Mixed modeled alignment | +1.0 ptsTarget-market demand | -0.4 ptsLabor and staffing friction | Moderate evidence confidence |
| 4 | ActionCOACHBusiness coaching | 70.8Tier 3 · Mixed modeled alignment | +0.6 ptsReferral ecosystem | -0.1 ptsLabor and staffing friction | Moderate evidence confidence |
| 5 | ZOOM DRAINDrain and sewer service | 70.8Tier 3 · Mixed modeled alignment | +0.8 ptsProperty replacement-cycle demand | -0.6 ptsLabor and staffing friction | Moderate evidence confidence |
| 6 | Mr. RooterPlumbing | 70.6Tier 3 · Mixed modeled alignment | +0.8 ptsProperty replacement-cycle demand | -0.6 ptsLabor and staffing friction | Moderate evidence confidence |
| 7 | Mister Sparky ElectricElectrical | 70.4Tier 3 · Mixed modeled alignment | +0.7 ptsProperty replacement-cycle demand | -0.6 ptsLabor and staffing friction | Moderate evidence confidence |
| 8 | Aire ServHVAC installation, repair, and maintenance | 70.4Tier 3 · Mixed modeled alignment | +0.7 ptsProperty replacement-cycle demand | -0.7 ptsLabor and staffing friction | Moderate evidence confidence |
| 9 | Tiger AdjustersPublic insurance adjusting | 70.3Tier 3 · Mixed modeled alignment | +0.4 ptsReferral ecosystem | -0.1 ptsLabor and staffing friction | Moderate evidence confidence |
| 10 | PuroCleanRestoration | 70.2Tier 3 · Mixed modeled alignment | +0.6 ptsProperty replacement-cycle demand | -0.6 ptsLabor and staffing friction | Moderate evidence confidence |
Original factor comparison
How each factor affected the highest-rated franchise concepts
The graph includes the top 14 concepts by local-alignment score. Only nonzero score contributions are plotted. A factor is removed when every displayed concept received 0.0 points from it. Hover or focus a concept name to highlight all of its remaining data points.
View the chart data as a table
| Concept | Target-market demand | Property replacement-cycle demand | Labor and staffing friction | Transportation, routing, and parking | Referral ecosystem |
|---|---|---|---|---|---|
| #1 Pillar To Post Home Inspectors | +0.9 pts | +0.4 pts | -0.1 pts | -0.2 pts | +0.4 pts |
| #2 City Wide | +0.9 pts | — | -0.2 pts | -0.1 pts | +0.4 pts |
| #3 HomeSmiles | +1.0 pts | — | -0.4 pts | -0.2 pts | +0.4 pts |
| #4 ActionCOACH | +0.3 pts | — | -0.1 pts | — | +0.6 pts |
| #5 ZOOM DRAIN | +0.6 pts | +0.8 pts | -0.6 pts | -0.4 pts | +0.3 pts |
| #6 Mr. Rooter | +0.7 pts | +0.8 pts | -0.6 pts | -0.4 pts | +0.1 pts |
| #7 Mister Sparky Electric | +0.6 pts | +0.7 pts | -0.6 pts | -0.3 pts | +0.1 pts |
| #8 Aire Serv | +0.7 pts | +0.7 pts | -0.7 pts | -0.4 pts | — |
| #9 Tiger Adjusters | +0.2 pts | — | -0.1 pts | -0.1 pts | +0.4 pts |
| #10 PuroClean | — | +0.6 pts | -0.6 pts | -0.2 pts | +0.4 pts |
| #11 Rainbow International Restoration | +0.1 pts | +0.6 pts | -0.6 pts | -0.3 pts | +0.4 pts |
| #12 FASTSIGNS | +0.4 pts | — | -0.3 pts | -0.3 pts | +0.1 pts |
| #13 Jan-Pro International | +0.7 pts | — | -0.6 pts | -0.2 pts | — |
| #14 Workout Anytime | -0.3 pts | — | -0.5 pts | -0.2 pts | — |
Rank stability
Which positions depend most on individual assumptions?
The line shows the best and worst rank reached when one factor was removed from every concept. A narrow range indicates a more stable position.
Neutralizing a factor removes it from every concept. A concept can move down even when its own score improves because competitors may benefit more.
Worked score example
How we calculated Pillar To Post Home Inspectors
This example uses the same ledger shown for every concept and must reconcile exactly to the published score.
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.9 |
| Property replacement-cycle demand | +0.4 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.1 |
| Transportation, routing, and parking | -0.2 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.4 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.32 |
| Published local-market alignment | 71.3 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Interpretation
How to interpret the result
Pillar To Post Home Inspectors, City Wide, HomeSmiles led because their operating requirements captured more of the local support from target-market demand while remaining less exposed to labor and staffing friction. The same city condition can help one operating model and constrain another, so score differences should be read through each concept's factor pattern rather than as a universal franchise-quality verdict. The ordering is most assumption-sensitive for City Wide, HomeSmiles, ActionCOACH; their ranks move more widely when individual factors are neutralized.
Factor impact
Which local conditions changed scores or rankings?
We neutralized one factor at a time, recalculated every score, and then measured both absolute score movement and changes in rank order.
Target-market demand
We tested how much of the city’s theoretical customer and business demand remained usable after operating friction.
We applied a measurable adjustment to 13 of 14 concepts. When we neutralized the factor and recalculated the table, 13 concepts changed position. HomeSmiles moved from #3 to #10, the largest movement among concepts directly affected by this factor.
Concepts helped most
Concepts challenged most
Property replacement-cycle demand
We compared the age and condition of relevant property systems with the services each concept is actually equipped to provide.
We applied a measurable adjustment to 7 of 14 concepts. When we neutralized the factor and recalculated the table, 11 concepts changed position. Mister Sparky Electric moved from #7 to #10, the largest movement among concepts directly affected by this factor.
Concepts helped most
Labor and staffing friction
We compared each concept’s frontline and specialist staffing requirements with the local labor environment.
We applied a measurable adjustment to 14 of 14 concepts. When we neutralized the factor and recalculated the table, 10 concepts changed position. ActionCOACH moved from #4 to #8, the largest movement among concepts directly affected by this factor.
Concepts challenged most
Transportation, routing, and parking
We recalculated route-dependent models after accounting for travel corridors, parking, and the number of productive stops they require.
We applied a measurable adjustment to 13 of 14 concepts. When we neutralized the factor and recalculated the table, 10 concepts changed position. ZOOM DRAIN moved from #5 to #2, the largest movement among concepts directly affected by this factor.
Concepts challenged most
Referral ecosystem
We tested whether the local professional and institutional referral ecosystem materially separated the assessed concepts.
We applied a measurable adjustment to 11 of 14 concepts. When we neutralized the factor and recalculated the table, 9 concepts changed position. ActionCOACH moved from #4 to #8, the largest movement among concepts directly affected by this factor.
Concepts helped most
- Competitive environmentNo material score adjustment
- Real estate and site feasibilityNo material score adjustment
- Sales and customer acquisitionNo material score adjustment
- Territory qualityNo material score adjustment
- Regulatory and operating frictionNo material score adjustment
Category comparisons
Best franchise categories we assessed in Albany, New York
Category summaries are shown only when at least two concepts qualified. Two-concept comparisons are explicitly labeled as limited.
Best Restoration franchise opportunities we assessed in Albany, New York
2 Restoration concepts qualified for comparison, with scores ranging from 70.2 to 70.2. PuroClean ranked highest at 70.2. Property replacement-cycle demand added 0.6 points on average among the affected concepts. Labor and staffing friction reduced the exposed concepts by 0.6 points on average.
Interpret cautiously: A 0.0-point spread is too small to support a strong brand-level conclusion from city alignment alone.
- Concepts compared
- 2
- Score range
- 70.2–70.2
- Category average
- 70.2
Compare all assessed concepts
Explore the complete score calculations
14 concepts shown. Expand a concept to see how each factor was treated and the single next check most capable of changing the result.
Pillar To Post Home Inspectors
Rank sensitivity: Stable
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.9 |
| Property replacement-cycle demand | +0.4 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.1 |
| Transportation, routing, and parking | -0.2 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.4 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.32 |
| Published local-market alignment | 71.3 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.9 pts
- Tested rank range
- #1–#2
Most important next check
Which transaction segments and property types are expected to generate the most inspection demand for Pillar To Post Home Inspectors?
City Wide
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.9 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.2 |
| Transportation, routing, and parking | -0.1 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.4 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 71.09 |
| Published local-market alignment | 71.1 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.9 pts
- Tested rank range
- #1–#5
Most important next check
How many qualified facility and property-management accounts must be reachable for City Wide to support its local contract pipeline?
HomeSmiles
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +1.0 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.4 |
| Transportation, routing, and parking | -0.2 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.4 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.82 |
| Published local-market alignment | 70.8 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +1.0 pts
- Tested rank range
- #3–#9
Most important next check
How many qualified facility and property-management accounts must be reachable for HomeSmiles to support its local contract pipeline?
ActionCOACH
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.3 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.1 |
| Transportation, routing, and parking | Not applicable to this operating model |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.6 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.81 |
| Published local-market alignment | 70.8 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Referral ecosystem +0.6 pts
- Tested rank range
- #1–#8
Most important next check
Which professional referral channels are expected to matter most to ActionCOACH, and what local relationship count supports the plan?
ZOOM DRAIN
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.6 |
| Property replacement-cycle demand | +0.8 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.6 |
| Transportation, routing, and parking | -0.4 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.3 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.77 |
| Published local-market alignment | 70.8 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +0.8 pts
- Tested rank range
- #2–#6
Most important next check
Which pipe, drain, and fixture conditions are expected to drive the most repeatable work for ZOOM DRAIN?
Mr. Rooter
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.7 |
| Property replacement-cycle demand | +0.8 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.6 |
| Transportation, routing, and parking | -0.4 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.1 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.59 |
| Published local-market alignment | 70.6 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +0.8 pts
- Tested rank range
- #3–#9
Most important next check
Which pipe, drain, and fixture conditions are expected to drive the most repeatable work for Mr. Rooter?
Mister Sparky Electric
Rank sensitivity: Moderately sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.6 |
| Property replacement-cycle demand | +0.7 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.6 |
| Transportation, routing, and parking | -0.3 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.1 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.40 |
| Published local-market alignment | 70.4 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +0.7 pts
- Tested rank range
- #7–#10
Most important next check
Which legacy-system, safety, and retrofit needs are expected to create the largest opportunity for Mister Sparky Electric?
Aire Serv
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.7 |
| Property replacement-cycle demand | +0.7 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.7 |
| Transportation, routing, and parking | -0.3 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not applicable to this operating model |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.39 |
| Published local-market alignment | 70.4 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +0.7 pts
- Tested rank range
- #5–#12
Most important next check
Which equipment ages and replacement triggers are expected to generate the strongest service mix for Aire Serv?
Tiger Adjusters
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.2 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.1 |
| Transportation, routing, and parking | -0.1 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.4 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.32 |
| Published local-market alignment | 70.3 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Adequate
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Referral ecosystem +0.4 pts
- Tested rank range
- #5–#11
Most important next check
Which ZIP codes and appointment density assumptions define Tiger Adjusters's practical service territory?
PuroClean
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | Not applicable to this operating model |
| Property replacement-cycle demand | +0.6 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.6 |
| Transportation, routing, and parking | -0.2 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.4 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.24 |
| Published local-market alignment | 70.2 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +0.6 pts
- Tested rank range
- #3–#12
Most important next check
Which territory boundaries allow PuroClean to meet response-time expectations without excessive cross-city travel?
Rainbow International Restoration
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.1 |
| Property replacement-cycle demand | +0.6 |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.6 |
| Transportation, routing, and parking | -0.3 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.4 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 70.23 |
| Published local-market alignment | 70.2 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Property replacement-cycle demand +0.6 pts
- Tested rank range
- #6–#13
Most important next check
Which territory boundaries allow Rainbow International Restoration to meet response-time expectations without excessive cross-city travel?
FASTSIGNS
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.4 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.3 |
| Transportation, routing, and parking | -0.3 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | +0.1 |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.96 |
| Published local-market alignment | 70.0 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.4 pts
- Tested rank range
- #7–#13
Most important next check
How many qualified local business accounts fall inside the territory proposed for FASTSIGNS?
Jan-Pro International
Rank sensitivity: Highly sensitive
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | +0.7 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.6 |
| Transportation, routing, and parking | -0.2 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not applicable to this operating model |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.81 |
| Published local-market alignment | 69.8 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Target-market demand +0.7 pts
- Tested rank range
- #8–#14
Most important next check
What concentration of recurring commercial accounts is required for Jan-Pro International to build an efficient local book of business?
Workout Anytime
Rank sensitivity: Stable
How we scored this concept
Full score ledger
Every factor is classified so a displayed zero is not confused with missing, conditional, or non-applicable evidence.
| Neutral model baseline | 70.0 |
|---|---|
| Target-market demand | -0.3 |
| Property replacement-cycle demand | Not applicable to this operating model |
| Competitive environment | Not included in the score |
| Labor and staffing friction | -0.5 |
| Transportation, routing, and parking | -0.2 |
| Real estate and site feasibility | Not included in the score |
| Sales and customer acquisition | Not included in the score |
| Referral ecosystem | Not applicable to this operating model |
| Territory quality | Depends on the specific site, territory, or operating condition |
| Regulatory and operating friction | Depends on the specific site, territory, or operating condition |
| Full-precision calculated score | 69.09 |
| Published local-market alignment | 69.1 |
Factor calculations use full precision. Contributions and published scores are displayed to one decimal place; ranking order uses the full-precision score.
Evidence confidence
- City Modifier Evidence
- Adequate
- Factor Research Coverage
- Adequate
- Franchise-profile completeness
- Limited
- Source-evidence confidence
- Strong
- Geographic applicability
- Adequate
- Overall evidence confidence
- Moderate evidence confidence
- Largest absolute effect
- Labor and staffing friction -0.5 pts
- Tested rank range
- #13–#14
Most important next check
What trade-area boundary and population base would Workout Anytime use to evaluate the proposed location?
No franchise concepts match the selected filters.
Metric registry
The 33 local metrics behind this analysis
The registry exposes the raw value, period, geography, factor mapping, and source for every public metric used in the city research.
View all local metrics
| Metric | Raw value | Period | Geography | How used | Source |
|---|---|---|---|---|---|
| Resident population estimate on July 1, 2025 | 101,698people | July 1, 2025 population estimate; 2020-2024 ACS measures and 2022 economic measures where displayed | Albany, New York | Evidence for Target-market demand, Territory quality | [4] |
| Population change from the April 2020 estimate base to July 2025 | 2.6percent | July 1, 2025 population estimate; 2020-2024 ACS measures and 2022 economic measures where displayed | Albany, New York | Evidence for Target-market demand | [4] |
| Households in the 2020-2024 Census estimate period | 44,357households | July 1, 2025 population estimate; 2020-2024 ACS measures and 2022 economic measures where displayed | Albany, New York | Evidence for Target-market demand, Territory quality | [4] |
| Owner-occupied housing-unit rate | 38.2percent of occupied housing units | July 1, 2025 population estimate; 2020-2024 ACS measures and 2022 economic measures where displayed | Albany, New York | Evidence for Target-market demand, Property replacement-cycle demand | [4] |
| Median household income | 61,986usd per household 2024 dollars | July 1, 2025 population estimate; 2020-2024 ACS measures and 2022 economic measures where displayed | Albany, New York | Evidence for Target-market demand | [4] |
| Persons in poverty | 22.9percent of persons | July 1, 2025 population estimate; 2020-2024 ACS measures and 2022 economic measures where displayed | Albany, New York | Evidence for Target-market demand | [4] |
| Retail sales in 2022 | 2,238,425,000usd | July 1, 2025 population estimate; 2020-2024 ACS measures and 2022 economic measures where displayed | Albany, New York | Evidence for Target-market demand | [4] |
| Health care and social assistance receipts/revenue in 2022 | 4,336,798,000usd | July 1, 2025 population estimate; 2020-2024 ACS measures and 2022 economic measures where displayed | Albany, New York | Evidence for Target-market demand, Referral ecosystem | [4] |
| Housing stock that predates 2010 | 95percent of housing stock | Housing conditions, demographics, permits, development, and market indicators compiled through 2025 | Albany, New York housing stock | Evidence for Property replacement-cycle demand, Labor and staffing friction | [5] |
| Housing units built before 1940 | 42.9percent of housing units | Housing conditions, demographics, permits, development, and market indicators compiled through 2025 | Albany, New York housing stock | Evidence for Property replacement-cycle demand, Labor and staffing friction | [5] |
| Median year built for the city housing stock | 1,949year | Housing conditions, demographics, permits, development, and market indicators compiled through 2025 | Albany, New York housing stock | Evidence for Property replacement-cycle demand, Labor and staffing friction | [5] |
| Developed residential properties rated poor or fair in the housing audit | properties approximate: 1,050; share: 4.7properties and percent | Housing conditions, demographics, permits, development, and market indicators compiled through 2025 | Albany, New York developed residential properties | Evidence for Property replacement-cycle demand, Territory quality | [5] |
| Household growth over the decade summarized in the 2025 housing audit | 6percent | Housing conditions, demographics, permits, development, and market indicators compiled through 2025 | Albany, New York | Evidence for Target-market demand | [5] |
| Housing units delivered from 2019 through the 2025 audit period | 2,454housing units | Housing conditions, demographics, permits, development, and market indicators compiled through 2025 | Albany, New York | Evidence for Target-market demand, Territory quality | [5] |
| Housing development pipeline reported in the 2025 audit | under construction approximate: 310; approved approximate: 1,030housing units | Housing conditions, demographics, permits, development, and market indicators compiled through 2025 | Albany, New York | Evidence for Target-market demand, Territory quality | [5] |
| Households meeting housing-cost-burden thresholds in the 2025 audit | all households: 39; renter households: 50; owner households: 21percent of household group | Housing conditions, demographics, permits, development, and market indicators compiled through 2025 | Albany, New York households | Evidence for Target-market demand | [5] |
| Vacancy rate for ETPA-eligible rental buildings in the 2024 city study | 8.3percent | 2024 survey of ETPA-eligible rental buildings | Albany rental buildings built before 1974 with six or more units and otherwise ETPA-eligible | Evidence for Target-market demand, Real estate and site feasibility, Territory quality | [6] |
| Downtown employment base and composition in the Downtown Albany Strategy data appendix | jobs approximate: 22,000; public sector share approximate: 50; public or office based share over: 85; jobs added 2019 to 2024 approximate: 850jobs and percent | Strategy research conducted from summer 2025 through early winter 2026; appendix updated February 2026 | Downtown Albany strategy geography | Evidence for Target-market demand, Referral ecosystem, Territory quality | [7] |
| Current resident population estimate for the Downtown BID core used in the strategy appendix | 1,150residents approximate | Strategy research conducted from summer 2025 through early winter 2026; appendix updated February 2026 | Downtown Albany BID core | Evidence for Target-market demand, Territory quality | [7] |
| Storefronts observed as vacant or low-visibility in the Downtown Heart visual review | 35percent of reviewed storefronts approximate | Strategy research conducted from summer 2025 through early winter 2026; appendix updated February 2026 | Downtown Heart, Albany | Evidence for Target-market demand, Real estate and site feasibility, Territory quality | [7] |
| Albany-Schenectady-Troy MSA unemployment rate in June 2026 | 3.5percent not seasonally adjusted | June 2026 labor-force and payroll-employment data | Albany-Schenectady-Troy, NY MSA | Evidence for Labor and staffing friction | [10] |
| Selected payroll-employment levels in the Albany-Schenectady-Troy MSA | total nonfarm: 486,600; government: 110,300; education and health services: 91,100; professional and business services: 65,200; leisure and hospitality: 41,500jobs | June 2026 labor-force and payroll-employment data | Albany-Schenectady-Troy, NY MSA | Evidence for Labor and staffing friction, Target-market demand, Referral ecosystem | [10] |
| General minimum wage for the remainder of New York State in 2026 | 16usd per hour | Rate effective January 1 through December 31, 2026 | Remainder of New York State, including Albany | Evidence for Labor and staffing friction, Regulatory and operating friction | [11] |
| University at Albany enrollment and employment as of November 1, 2025 | total students: 17,426; undergraduate students: 12,889; graduate students: 4,537; employees: 3,642people | Enrollment and employee data as of November 1, 2025; research expenditures for 2023-2024 | University at Albany | Evidence for Target-market demand, Referral ecosystem | [12] |
| Albany Med Health System employment scale | 17,000employees over | Current annual impact-report data available in 2026 | Albany Med Health System across the Capital Region | Evidence for Target-market demand, Referral ecosystem, Labor and staffing friction | [13] |
| Capital Region and Albany CBD office vacancy and asking rents in H2 2025 | capital region vacancy: 12; capital region asking rent: 19.03; albany cbd vacancy: 15.2; albany cbd asking rent: 21.66; albany cbd class a vacancy: 32; albany cbd class a asking rent: 24.52percent and usd per square foot full service gross | Second half of 2025 | Capital Region and Albany CBD office market | Evidence for Real estate and site feasibility, Territory quality, Target-market demand | [14] |
| Albany County industrial market metrics in H2 2025 | inventory square feet: 26,639,936; vacant square feet: 769,722; vacancy rate: 2.9; average asking rent: 8; report minimum building size square feet: 10,000square feet percent and usd per square foot nnn | Second half of 2025 | Albany County industrial market | Evidence for Real estate and site feasibility, Competitive environment | [15] |
| Residential Permit Parking expansion effective February 15, 2026 | effective date: 2026-02-15; zones: A, B, C; program year end: 2027-02-15program terms | Current 2026-2027 Residential Permit Parking program | Albany Residential Permit Parking zones | Evidence for Transportation, routing, and parking, Territory quality, Real estate and site feasibility | [8] |
| Parking-side changes and towing exposure during declared Snow Emergencies | first 24 hours: park on even-numbered side; next 24 hours: park on odd-numbered side; enforcement: ticketing, towing; regular parking rules suspended: yesrule | Current snow-emergency parking and sidewalk-clearance rules accessed August 2026 | Albany, New York during a declared Snow Emergency | Evidence for Transportation, routing, and parking, Territory quality | [9] |
| Certificate of Appropriateness requirement for significant exterior changes to designated historic resources | certificate required: yes; covered examples: exterior alterations, signs, awnings, windows, light fixtures, fencespermit gate | Current preservation-review guidance accessed August 2026 | Albany local historic districts and landmarks | Evidence for Regulatory and operating friction, Real estate and site feasibility, Territory quality | [16] [17] |
| New York State OGS centralized procurement scale and formal vendor process | centralized contracts approximate: 1,500; process elements: Bid Calendar, solicitations, vendor resources, centralized contractscontracts and process | Current procurement programs, contracts, and bid resources accessed August 2026 | New York State Office of General Services | Evidence for Target-market demand, Sales and customer acquisition, Referral ecosystem | [18] |
| Livingston Avenue Rail Bridge replacement construction and staging | project cost millions usd: 634.8; anticipated completion: summer 2028; new bridge built adjacent to existing: yes; existing bridge remains in service until traffic shift: yes; daily amtrak trains: 12; daily freight trains range: 2, 6project metrics | Livingston Avenue Rail Bridge replacement construction and expected schedule announced July 2024 | Albany-Rensselaer Livingston Avenue Rail Bridge | Evidence for Transportation, routing, and parking | [19] [1] |
| County Business Patterns supports detailed public establishment research but does not by itself define a franchise competitor set | industry detail: 2-through-6-digit NAICS; geographies: county, metropolitan area, ZIP code; measures: establishments, employment, first quarter payroll, annual payrolldataset dimensions | Calendar year 2023 | United States subnational geographies including Albany County, Capital Region geographies, and ZIP Codes | Evidence for Competitive environment, Sales and customer acquisition, Target-market demand | [20] |
How to use the ranking
What the model can and cannot establish
- Scores measure local operating alignment, not expected financial performance or franchise-system quality.
- Citywide evidence may not describe the exact site or territory ultimately offered.
- Conditional effects are shown for diligence but do not change the published score until their applicability is established.
Methodology
How the local-alignment ranking is calculated
Measure the city
Collect reusable local metrics with source, period, geography, and confidence fields.
Profile each operating model
Map each franchise to controlled operating attributes and local sensitivities.
Apply scoreable effects
Score only effects that apply without an unresolved site, territory, customer, or project gate.
Preserve conditional effects
Keep location- or territory-dependent issues visible for diligence without automatically changing the score.
Test rank sensitivity
Remove one factor at a time from every concept and rerank using full-precision scores.
Generate public output
Create the ranking, factor-status ledger, visuals, metric registry, and automated quality report from the same data.
Why every concept begins at 70.0
70.0 is a neutral display baseline shared by every concept. Local conditions can move a score by no more than 18.0 points in either direction under the current model. It is not a percentage, probability, or estimate of investment quality.
Precision and materiality
Calculations use full-precision values. Published scores and factor contributions display one decimal place, while ranks use full precision. Effects smaller than 0.1 points are identified as below the publication threshold rather than presented as a meaningful zero.
Score tiers
How factor rows are classified
“Best” means the strongest modeled local operating alignment among the franchise concepts assessed on this page.
Model governance
How this report is calculated and corrected
Calculation controls
- Model designer
- Thomas Jepsen
No concept’s final score is manually raised or lowered after calculation. Before this template is activated, the report is reviewed for source scope, classification, arithmetic, unsupported claims, duplication, and readability.
Model history
- Model 0.9.0-calibration · August 7, 2026Added conditional scoring gates, factor-status transparency, rank-sensitivity testing, metric registry output, and factor-impact visualization data.
Corrections policy
Corrected source, geography, or operating-profile evidence triggers a full compiler rerun so every dependent score and visual is recalculated.
Source registry
Evidence represented in this report
Each source identifies its period, scope, and the local metrics it supports. Internal or supplied research is not presented as independently accessible evidence.
- 1Forensic Audit of Municipal Structural Constraints and Deal-Killer LiabilitiesInternal or supplied research; not publicly accessible.
Used for: Livingston Avenue Rail Bridge replacement construction and staging
- 2Strategic Utility Delta Audit: Structural Inefficiencies and CRE Arbitrage Across Local U.S. MarketsInternal or supplied research; not publicly accessible.
- 3Franchise data - remake - B startInternal or supplied research; not publicly accessible.
- 4QuickFacts: Albany city, New York
Used for: Resident population estimate on July 1, 2025, Population change from the April 2020 estimate base to July 2025, Households in the 2020-2024 Census estimate period, Owner-occupied housing-unit rate, and Median household income
- 52025 Housing Audit Report
Used for: Housing stock that predates 2010, Housing units built before 1940, Median year built for the city housing stock, Developed residential properties rated poor or fair in the housing audit, and Household growth over the decade summarized in the 2025 housing audit
- 6Rental Vacancy Study: Albany, New York
Used for: Vacancy rate for ETPA-eligible rental buildings in the 2024 city study
- 7Downtown Albany Strategy - Data & Methods Appendix
Used for: Downtown employment base and composition in the Downtown Albany Strategy data appendix, Current resident population estimate for the Downtown BID core used in the strategy appendix, and Storefronts observed as vacant or low-visibility in the Downtown Heart visual review
- 8Parking Permits
Used for: Residential Permit Parking expansion effective February 15, 2026
- 9Snow Removal
Used for: Parking-side changes and towing exposure during declared Snow Emergencies
- 10Albany-Schenectady-Troy, NY Economy at a Glance
Used for: Albany-Schenectady-Troy MSA unemployment rate in June 2026 and Selected payroll-employment levels in the Albany-Schenectady-Troy MSA
- 11New York State's Minimum Wage
Used for: General minimum wage for the remainder of New York State in 2026
- 12Data & Overview
Used for: University at Albany enrollment and employment as of November 1, 2025
- 13Annual Impact Report
Used for: Albany Med Health System employment scale
- 14Albany Office Market Outlook H2 2025
Used for: Capital Region and Albany CBD office vacancy and asking rents in H2 2025
- 15Albany Industrial Market Outlook H2 2025
Used for: Albany County industrial market metrics in H2 2025
- 16Historic Districts
Used for: Certificate of Appropriateness requirement for significant exterior changes to designated historic resources
- 17Code of the City of Albany - Historic Resource Protection provisions
Used for: Certificate of Appropriateness requirement for significant exterior changes to designated historic resources
- 18Procurement
Used for: New York State OGS centralized procurement scale and formal vendor process
- 19Governor Hochul Announces Major Capital Region Infrastructure Projects to Improve Rail Service and Boost Economic Development
Used for: Livingston Avenue Rail Bridge replacement construction and staging
- 20County Business Patterns: 2023
Used for: County Business Patterns supports detailed public establishment research but does not by itself define a franchise competitor set
Before contacting a franchisor
Complete the next layer of due diligence
- Confirm the exact protected territory and neighboring units.
- Review the current Franchise Disclosure Document.
- Validate local staffing, licensing, insurance, and service-base assumptions.
- Obtain location, vehicle, buildout, or working-capital estimates.
- Speak with current and former franchisees.
- Build a candidate-specific financial scenario.
Apply the analysis to your situation
Review how these market findings apply to your budget, role, and proposed territory.
The city score does not include your experience, capital structure, time commitment, financing, or exact territory.
